AI/ML, Cloud Computing, Internet of Things (IoT)

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Role of Artificial Intelligence in the Internet of Things

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At the 2005 World Summit on the Information Society (WSIS), the International Telecommunication Union formally suggested the term “Internet of Things”.

IoT (Internet of Things) is a modern technology that allows sensor data to be sent and received across Internet networks.

Like regular data transfer, Internet of Things (IoT) typically uses sensors and microcontrollers. Instead of using a computer to send and receive data, use a microcontroller with portable communication tools, such as a cell phone, communication pad, and even a wristwatch. Most sensor data can be transmitted straight into the server with IoT. Typically, this is done when the microcontroller is connected to WiFi and there is a WiFi connection.

Artificial Intelligence in IoT Design and Implementation


Fig. The proposed IOT hardware implemented using AI

Physical Prototype

The MQ7 gas sensor and a humidity sensor are the two sensors that make up the suggested proposal. The Arduino microcontroller is attached to the output of both sensors.

The ESP8266 WiFi chip is then linked to the Arduino. An air interface is used to link an Android phone to an Arduino

The software from the previous section must be downloaded into the Arduino before doing the setup procedures listed below to test the system.


IoT has recently significantly contributed to mankind in several areas, including multidisciplinary design and complex, large-scale systems. The AI integration has already demonstrated significant success. Several sectors are expected to undergo a revolution shortly due to ongoing progress and numerous unanticipated favorable effects.

Processing and action by AI. This opens the door to a new Internet of Things with AI integration for robotic and industrial automation applications, including intelligent agents and perhaps future life. IoT makes it possible to successfully handle industrial/robotic automation robotic operations, logistics, supply chain management, inventory control, and facility management. Even though IoT protection has drawn a lot of attention since its inception, the strategies created and put to use so far have not been effective. Protection and confidentiality remain the biggest obstacles to IoT and IoT installations.

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Drop a query if you have any questions regarding IoT and I will get back to you quickly.

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1. Can your IoT or AI app users start using it immediately with minimal training?

ANS: – Usability has advanced to the point where a user doesn’t require training if an AI or IoT software can be turned on and used immediately. Most significantly, the software gains user support and confidence. As a result, the app is less likely to crash.

2. Is the app connected to daily maintenance and operation cycles?

ANS: – IoT and AI apps need to be integrated into company processes to function smoothly and efficiently every day to be useful and sustainable. Moreover, they must be continually updated, maintained, and monitored. Any app will fail if these fundamentals are not regularly taken care of.

WRITTEN BY Shubham .

Shubham works as a Research Intern at CloudThat. He is passionate about technology and cloud computing. He is currently pursuing his Bachelor's Degree in Information Technology. In his free time, Shubham enjoys reading books and playing cricket. Shubham's interest in cloud computing led him to pursue a career in AWS Consulting, where he enjoys helping clients solve complex problems and optimize their cloud infrastructure. He constantly learns and stays up to date with the latest AWS technologies and best practices.



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